Key Takeaways
- 52% of consumers say they are more likely to trust brands that use native advertising
- 59% of consumers say native advertising is less intrusive than traditional display ads
- 46% of consumers say they are more likely to engage with native advertising than traditional display
- 70% of advertisers say native ads are effective
- 53% of advertisers say native advertising is more effective than display advertising
- 42% of advertisers report improved results after shifting budget to native ads
- 59% of marketers use native advertising to extend content marketing reach
- 64% of B2B marketers use native advertising
- 41% of B2B marketers use native advertising for lead generation
- The US Federal Trade Commission (FTC) held that native advertising must be disclosed if it would not be clear to consumers that the content is advertising
- FTC stated that disclosures should be “unavoidable” and placed where they are likely to be noticed
- FTC’s 2015 guidance says advertisers must ensure disclosures are included even on mobile devices
- UK CMA guidance requires advertisers to ensure marketing is clearly identifiable
Clear labeling makes native ads more trusted, less intrusive, and more engaging, driving clicks and brand lift.
Consumer Trust & Effectiveness
Consumer Trust & Effectiveness Interpretation
Campaign Performance & Measurement
Campaign Performance & Measurement Interpretation
Adoption & Market Size
Adoption & Market Size Interpretation
Regulatory, Ethics & Disclosures
Regulatory, Ethics & Disclosures Interpretation
Regulatory,
Regulatory, Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Henrik Dahl. (2026, February 13). Native Advertising Statistics. Gitnux. https://gitnux.org/native-advertising-statistics
Henrik Dahl. "Native Advertising Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/native-advertising-statistics.
Henrik Dahl. 2026. "Native Advertising Statistics." Gitnux. https://gitnux.org/native-advertising-statistics.
References
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- 2iab.com/wp-content/uploads/2015/06/2015-Consumer-Study.pdf
- 3iab.com/wp-content/uploads/2017/03/2017-Consumer-Study-Native-Advertising.pdf
- 38iab.com/wp-content/uploads/2019/12/IAB-Native-Advertising-Disclosure-Guidelines.pdf
- 39iab.com/wp-content/uploads/2015/11/IAB-Native-Advertising-Playbook.pdf
- 4marketingcharts.com/television-and-video/most-adults-see-native-ads-as-mostly-honest-34240
- 5bstn.co.uk/wp-content/uploads/2017/05/2017-FTC-Consumer-Education-Native-Ads.pdf
- 6adweek.com/brand-marketing/study-native-advertising-trust-respondents
- 7pewresearch.org/internet/2016/04/25/teens-social-media-and-technology-2016/
- 8scribd.com/document/357029262/IAB-Native-Advertising-Report
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- 13contentmarketinginstitute.com/wp-content/uploads/2016/06/2016-B2B-CM-Survey.pdf
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- 19emarketer.com/content/native-ad-spend-us-2019
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- 22emarketer.com/content/native-ad-spend-us-2022
- 23emarketer.com/content/native-ad-spend-us-2023
- 24emarketer.com/content/native-ad-spend-us-2024
- 25emarketer.com/content/native-ad-spend-us-2025
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- 27insiderintelligence.com/content/native-advertising-2024
- 28insiderintelligence.com/content/native-advertising-2022
- 29insiderintelligence.com/content/native-advertising-2023
- 30insiderintelligence.com/content/native-advertising-2025
- 31reportlinker.com/p05960202/Native-Advertising-Market.html
- 32ftc.gov/news-events/press-releases/2013/09/ftc-staff-warns-endorsers/
- 33ftc.gov/news-events/blogs/business-blog/2015/06/native-advertising-clear-conspicuous-disclosures
- 34ftc.gov/legal-library/browse/casesproceedings/152-3104-rizo-spa-inc
- 35ftc.gov/legal-library/browse/casesproceedings/172-3164-sunday-riley-modern-skincare-inc-et-al
- 36ftc.gov/legal-library/browse/casesproceedings/172-3085-cole-haan
- 37ftc.gov/business-guidance/resources/advertising-disclosures
- 42ftc.gov/news-events/blogs/business-blog/2018/08/social-media-ads-and-disclosures
- 43ftc.gov/news-events/press-releases/2019/02/ftc-halts-deceptive-marketing-competitors
- 44ftc.gov/legal-library/browse/casesproceedings/170-3017-cole-haan
- 40asa.org.uk/type/advice-and-guidance/labelled-ads.html
- 41eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32005L0029
- 45gov.uk/government/publications/green-claims-code







